Big Bang-Big Crunch algorithm based optimum design of steel frames

In this paper, the Big Bang-Big Crunch algorithm is utilized for the optimum design of steel frames following the AISC-LRFD specification. The BB-BC optimization is a population-based meta-heuristic search procedure that relies on one of the theories of the evolution of the universe namely the Big Bang and Big Crunch theory. The objective of the optimization is to minimize the total weight of the structure subjected to serviceability and strength constraints following the AISC-LRFD. Design examples considered in this paper consist of a rigid steel frame and a braced steel frame. The braced steel frame is optimized using two systems, Building Frame System (BFS) and Dual Frame System (DFS). Finally it is shown that the frame designed as the DFS is lighter than that designed as the BFS. Also the results obtained by the BB-BC algorithm for the rigid steel frame demonstrate the efficiency of the algorithm.